Hello,
A rolling forecast in the context of S/4HANA and SAP Analytics Cloud (SAC) refers to an approach where the forecast is continuously updated and adjusted over a defined period, typically on a monthly or quarterly basis. Unlike traditional budgeting or forecasting processes that are fixed for a specific period, a rolling forecast allows organizations to adapt and revise their projections regularly, incorporating new data, market conditions, and business insights.
The rolling forecast process in S/4HANA SAC typically involves the following steps:
1. Data Integration: Relevant data from various sources, such as S/4HANA transactional data is integrated into SAC for analysis and forecasting.
2. Data Modeling: The integrated data is transformed and modeled in SAC to create meaningful forecasts. This includes defining key variables, such as sales volumes, revenue, expenses, and other relevant metrics.
3. Forecasting Techniques: Different forecasting techniques, such as time series analysis, regression analysis, and predictive analytics, may be employed to generate accurate and reliable forecasts based on historical data patterns.
4. Collaboration and Adjustments: The rolling forecast process involves collaboration among stakeholders, including finance teams, sales, and operational managers. They review the forecasted data, provide insights, and make necessary adjustments based on the latest information and market trends.
5. Regular Updates: The rolling forecast is updated periodically, usually monthly or quarterly, to reflect the most current data and insights. This ensures that the forecast remains relevant and aligned with the dynamic business environment.
Here is a blog related to this topic:
How to integrate SAP Analytics Cloud for planning with SAP S/4HANA for group reporting | SAP Blogs
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